DE&A - AIML - Auto ML
Bangalore, Karnataka, India
INR 3100K-4500K (estimate) Senior-level Full Time Found 12d ago
Tasks
- Build and secure LLM applications
- Build ingestion and transformation pipelines
- Define SLAs/SLOs and incident procedures
- Design data pipelines and vectorization systems
- Develop RAG architectures
- Develop prompt pipelines and retrieval chains
- Establish data governance policies
- Implement feature and vector databases
- Integrate orchestration frameworks and API gateways
- Lead GenAI solution architecture
- Partner with stakeholders and mentor teams
- Set up observability and cost monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | AWS | Airflow | Azure | Azure DevOps | CI/CD | Chunking | Data Pipelines | Data Privacy | Databricks | Docker | ETL | Embeddings | EventHub | GCP | GenAI architecture | GitHub Actions | Jenkins | Kafka | Kubernetes | LLM apps | Metadata strategies | Model selection | Network isolation | Policy-as-Code | Prompt engineering | Python | RAG | RBAC | Responsible AI | Retrieval optimization | Routing strategies | SQL | Secret management | Spark | Team leadership | Translation skills | Vector Databases | “as-code”
Education
AI/ML | Bachelor's in Computer Science | Master's in Data Engineering
Language: en |
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